Estimating fishing effort across the landscape: A spatially extensive approach using models to integrate multiple data sources

Author:

Trudeau Ashley,Dassow Colin J.,Iwicki Carolyn M.,Jones Stuart E.,Sass Greg G.,Solomon Christopher T.,van Poorten Brett T.,Jensen Olaf P.

Funder

the National Science Foundation

University of Notre Dame Environmental Research Center

Manasquan River Marlin

Tuna Club

United States Fish and Wildlife Service, Federal Aid in Sportfish Restoration funding

Wisconsin Department of Natural Resources

Publisher

Elsevier BV

Subject

Aquatic Science

Reference83 articles.

1. 24k Hydro Full Geodatabase for Download [WWW Document], 2017. URL https://data-wi-dnr.opendata.arcgis.com/datasets/0128cce2c06342218725f1069031a4fa (accessed 4.8.20).

2. Explaining participation rates in recreational fishing across industrialised countries;Arlinghaus;Fish. Manag. Ecol.,2015

3. Angler effort estimates from instantaneous aerial counts: use of High-frequency time-lapse camera data to inform model-based estimators;Askey;North Am. J. Fish. Manag.,2018

4. Mu-MIn: Multi-Model Inference., R Package;Barton,2019

5. Fitting linear mixed-effects models using lme4;Bates;J. Stat. Softw.,2015

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